Hadoop

hadoopoic

Course Contents:

1.  Overview of Big Data and Hadoop

Introduction to big data, limitations of existing solutions,Hadoop architecture, HDFS design, HA name node, MapReduce design, Hadoop deamons

 

2. Hadoop Installation and Mapreduce

Hadoop server roles and their usage, Hadoop installation and initial configuration, deploying Hadoop in a single node, deploying a multi-node Hadoop cluster, Installing Hadoop Clients, working with HDFS, understanding MapReduce.

 

3. Hadoop Administration

File System Image and Edit Log, Checkpoint Procedure ,The Checkpoint Procedure (contd.) , NameNode Failure and Recovery Procedure, Safe Mode, Metadata and Data Backup,  Adding or removing of nodes,  schedulers and enabling schedulers

 

4. Hadoop Cluster Planning

 

Planning the Hadoop cluster, cluster sizing, hardware, network and software considerations, popular Hadoop distributions, Balanced and Unbalanced Cluster. Cluster commands.

 

5. Important Hadoop components

Hive ,Hive vs. Other Traditional Databases ,Hive Data Types,Prerequisites for Hive ,Installing Hive ,Installing Hive from Tarball ,Configuring Hive ,Hive site , Hive default . xml . template ,Log Files , Hive Configuration Variables, Hive Configuration Variables Used to Interact with Hadoop,

Pig, Prerequisites for Pig , Installing Pig, Useful Commands for Pig ,Configuring Pig

 

6. Hadoop Ecosystem

Ganglia, Nagios , Sqoop and Other miscellaneous componenets viz Oozie, Avro, Mahout etc.,Hadoop security using kerberos.

Location Map

Address

Digiterati
85 First Main Road,
Gandhi Nagar, Adyar
Chennai-600 020
Tamil Nadu , India
Phone:044 2441 3444
Mob: 91 99406 23934
CourseEnquiry